code: def test_sac_multiagent(self):
      check_support_multiagent(
          "SAC",
          (
              SACConfig()
              .environment(normalize_actions=False)
              .rollouts(num_rollout_workers=0)
              .training(replay_buffer_config={"capacity": 1000})
          ),
      )
  
imports: import unittest
  import ray
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.algorithms.dqn import DQNConfig
  from ray.rllib.algorithms.impala import ImpalaConfig
  from ray.rllib.algorithms.ppo import PPOConfig
  from ray.rllib.algorithms.sac import SACConfig
  from ray.rllib.examples.env.multi_agent import MultiAgentCartPole, MultiAgentMountainCar
  from ray.rllib.policy.policy import PolicySpec
  from ray.rllib.utils.test_utils import check_train_results, framework_iterator
  from ray.tune.registry import register_env
label_desc: Use image node_id 4 for calling the TestSupportedMultiAgentOffPolicy obj's underlying member method code with example usage: obj.test_sac_multiagent() without return types